Bianca Donadio

United States Air Force Academy

Papers

1

Total Citations

20

H-Index

1

About

Bianca Donadio is a researcher at the intersection of human factors engineering and military technology, specializing in human-machine teaming and the representation of complex operational tasks. Her work addresses a critical challenge in defense and robotics: how to accurately model military tasks for effective collaboration between humans and autonomous systems. In her most-cited paper, "Appropriately Representing Military Tasks for Human-Machine Teaming Research" (2020), Donadio provides a foundational framework for designing and evaluating teaming scenarios, ensuring that experimental tasks reflect real-world complexity without sacrificing experimental control. This contribution has garnered 20 citations, reflecting its growing influence among researchers in human-robot interaction and military ergonomics. Donadio’s research is notable for bridging the gap between theoretical task analysis and practical system design, offering guidelines that inform both academic studies and defense applications. Her work is essential reading for students and engineers seeking to understand the cognitive and procedural demands of human-machine teams in high-stakes environments, and it positions her as a key voice in the evolving field of collaborative autonomy.

Research Focus

Key Achievements

1
H-Index
1
Papers
20
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Appropriately Representing Military Tasks for Human-Machine Teaming Research
20 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: United States Air Force Academy

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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